Deep End-to-End Survival Analysis with Temporal Consistency
DeepTCSR is a novel framework for large-scale survival analysis that extends temporal consistency using Reinforcement Learning ideas. It introduces a target network to provide stable training signals, allowing models to effectively capture long-term temporal relationships in massive datasets. This method improves performance and stability compared to traditional methods like TCSR.